Case Study of the Lone Star Dairy Products Wastewater Treatment Plant Expansion Project
Bibliographic record
Abstract
Case Study of the Lone Star Dairy Products Wastewater Treatment Plant Expansion ProjectAbstractThis paper will provide a case study of the Lone Star Dairy Products wastewater pretreatment plant, including a description of ADI-BVF® technology used to anaerobically digest the raw wastewater, process benefits of low-rate anaerobic digestion of dairy wastewater, upgrades made to the previous pretreatment system, and a review of the operating results in the two years since the pretreatment plant expansion.This paper will provide a case study of the Lone Star Dairy Products wastewater pretreatment plant, including a description of ADI-BVF technology used to anaerobically digest the raw wastewater, process benefits of low-rate anaerobic digestion of dairy wastewater, upgrades made to the previous pretreatment system, and a review of the operating results in the two years since the pretreatment plant expansion.SpeakerBertoldo, DanielPresentation time14:00:0014:30:00Session time13:30:0015:00:00SessionFood & Beverage: Upgrades and TroubleshootingSession locationRoom S403a - Level 4TopicFacility Operations and Maintenance, Intermediate Level, Sustainability and Climate Change, Water Reuse and ReclamationTopicFacility Operations and Maintenance, Intermediate Level, Sustainability and Climate Change, Water Reuse and ReclamationAuthor(s)Bertoldo, DanielAuthor(s)D. Bertoldo 1; M. Allison 2 ; M. Allison 2; S. Zelaya 1; D. Bertoldo 1; S. Grant 2;Author affiliation(s)Evoqua Water Technologies Canada Ltd., 370 Wilsey Road, Fredericton, NB, Canada E3B 6E9 1; Evoqua Water Technologies Canada Ltd., 370 Wilsey Road, Fredericton, NB, Canada E3B 6E9 2 ; Evoqua Water Technologies 2; Evoqua Water Technologies 1; Evoqua Water Technologies 1; Evoqua Water Technologies 2;SourceProceedings of the Water Environment FederationDocument typeConference PaperPublisherWater Environment FederationPrint publication date Oct 2023DOI10.2175/193864718825158991Volume / Issue Content sourceWEFTECCopyright2023Word count14
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".